Location
Provo, UT | United States
Job description
Position Title: SQL Programmer
Location: (St. Louis MO, Durham NC, or Salt Lake City UT) Type/Duration: Temporary/6+ Months possible extension Shift: Hybrid Key Responsibilities • Develops strategy to assemble data sets that accurately reflect study cohort inclusion criteria in retrospective database studies
• Extracts data from databases using SQL
• Cleans and prepares data for statistical analysis
• ssists with data formatting and monitoring of results from on-going laboratory studies
• ssists with data formatting and statistical analysis in HEOR and meta-analysis studies
• Provides data analysis, statistical modeling, and data visualizations to communicate results to the team
• Interprets results and contributes to manuscripts intended for peer-reviewed publication
• Works with team scientists (generally microbiologists and pharmacists) to incorporate current performance standards related to quantifying the performance of our diagnostic devices
• Supports the Peri- & Post- product Launch Study (PPLS) program as requested
• Communicates effectively with team members and internal stakeholders
• nticipates and proactively mitigates challenges and risks to timely completion of documents
Required Education, Experience & Skills • Bachelor's degree in data science, Statistics, Mathematics, Computer Science, or similar degree with a primary focus on quantitative science
• Expertise with SQL database programming and data cleaning is required
• 1-2 years' experience working with real-world data
• Expertise with R language programming is preferred
• Expertise with patient outcomes research, meta-analysis, and in vitro diagnostics device studies is preferred
• Excellent practices in documentation, commenting, and validation of code
• Experience with Big Data, Amazon Web Services skills is preferred
• Experience with Tableau, R Shiny, or other business-intelligence platforms is preferred
• Experience with software development and version control using Git is preferred
• bility to contribute to writing statistical methods and results sections for scientific papers; authorship in peer-reviewed scientific publications is preferred
• Excellent interpersonal, analytical, communication (oral and written), presentation, and project management skills
• Problem-solving mindset
• Team player
• bility to work in a highly matrixed global environment
• Strong prioritization and decision-making skills
• Fluent in English
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